Covariance Matrix Self-Adaptation and Kernel Regression - Perspectives of Evolutionary Optimization in Kernel Machines

DOI10.3233/FI-2010-218zbMATH Open1196.68194OpenAlexW2132555744MaRDI QIDQ3560628

Oliver Kramer

Publication date: 14 May 2010

Full work available at URL: https://content.iospress.com/articles/fundamenta-informaticae/fi98-1-07

zbMATH Keywords

evolution strategiesNadaraya-Watson-based kernel regression

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Recommendations

• Unnamed Item 👍 👎
• An adaptive penalty based covariance matrix adaptation-evolution strategy 👍 👎
• Self-adaptive support vector machines: modelling and experiments 👍 👎
• Evolutionary Optimisation of Kernel and Hyper-Parameters for SVM 👍 👎
• ADVANCED ALGORITHM OF EVOLUTION STRATEGIES OF COVARIATION MATRIX ADAPTATION 👍 👎

This page was built for publication: Covariance Matrix Self-Adaptation and Kernel Regression - Perspectives of Evolutionary Optimization in Kernel Machines